master
Marc Wäckerlin 8 years ago
parent 94ee103b37
commit 0a8c4d4664
  1. 6
      src/neuron.hxx

@ -98,7 +98,7 @@
second, and so on, until @c H<sub>l+1</sub> contains the weights second, and so on, until @c H<sub>l+1</sub> contains the weights
from layer @c l to the output @c O. from layer @c l to the output @c O.
The output vector is then calculatd as: The output vector is then calculated as:
O = I × H<sub>1</sub> × H<sub>2</sub> × H<sub></sub> × H<sub>l+1</sub> O = I × H<sub>1</sub> × H<sub>2</sub> × H<sub></sub> × H<sub>l+1</sub>
@code @code
@ -106,10 +106,10 @@
const size_type o(2); const size_type o(2);
NeuroNet<double, i, o> net; NeuroNet<double, i, o> net;
Matrix<1, i> input(1.0, 2.0, 0.0, -1.0); Matrix<1, i> input(1.0, 2.0, 0.0, -1.0);
Matrix<1, o> output = net.propagate(input); Matrix<1, o> output = net(input);
@endcode @endcode
@section beuro-backward Back Propagation @section neuro-backward Back Propagation
*/ */

Loading…
Cancel
Save